书目名称 | Sampling Theory, a Renaissance | 副标题 | Compressive Sensing | 编辑 | Götz E. Pfander | 视频video | | 概述 | Tutorial style articles on new high-impact topics in sampling and applications.Offers experts in sampling theory (mathematicians and engineers) new insights into the wide area of sampling theory.Inclu | 丛书名称 | Applied and Numerical Harmonic Analysis | 图书封面 |  | 描述 | .Reconstructing or approximating objects from seemingly incomplete information is a frequent challenge in mathematics, science, and engineering. A multitude of tools designed to recover hidden information are based on Shannon’s classical sampling theorem, a central pillar of Sampling Theory. The growing need to efficiently obtain precise and tailored digital representations of complex objects and phenomena requires the maturation of available tools in Sampling Theory as well as the development of complementary, novel mathematical theories. Today, research themes such as Compressed Sensing and Frame Theory re-energize the broad area of Sampling Theory. This volume illustrates the renaissance that the area of Sampling Theory is currently experiencing. It touches upon trendsetting areas such as Compressed Sensing, Finite Frames, Parametric Partial Differential Equations, Quantization, Finite Rate of Innovation, System Theory, as well as sampling in Geometry and Algebraic Topology.. | 出版日期 | Book 2015 | 关键词 | Compressive Sensing; Fourier Analysis; Frame Theory; Random Measurements; Sampling Theory; Sparsity; infor | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-19749-4 | isbn_softcover | 978-3-319-79286-6 | isbn_ebook | 978-3-319-19749-4Series ISSN 2296-5009 Series E-ISSN 2296-5017 | issn_series | 2296-5009 | copyright | Springer International Publishing Switzerland 2015 |
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